I've been having a hard time finding a solution. Is there really no commercialized model that I can feed in a reference sound and text instruction and get another sound out?
Right now having a multimodal inputs to image or text output is a commodotized, solved problem. IE you can put a prompt for some image and use a reference image to guide the model on what you want. After all, a picture is worth a thousand words right?
Ive also used a text and audio input in order to get a text description or classification out.
I cannot for the life of me find a solution for Audio + text -> Audio
My usecase is that I'm trying to generate new sound effects based on a source that doesn't have that many clean examples and thought this would be just another solved workflow but I'm not finding much. Tried elevenlabs SFX but it's only text->audio and without the reference, it's hard to guide with just text and recreate a sound with any accuracy. I tried the Stable Audio 3 model which is supposed to do what I want but the results were terrible. This modality seems to be stuck where image generation was in 2016. Is there something else or is this just not a common need?
Maybe a dumb idea, but how good are image models with manipulating spectrogram images? Then a workaround could be: convert input audio to spectrogram -> pass spectrogram + prompt to an image model -> convert modified spectrogram back to audio waveform.
I wouldn't call it a dumb idea, but there's soooo much subtlety to sound that wont be visible in any reasonably sized image.
Plenty of models take in text + audio and spits out audio. It's the format of most newer generation accent conversion/voice cloning models.
What's your exact use case?